{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Starting notes\n",
    "This is an example of using Julia and Spectra.jl with the optimisation framework JuMP and algorithm Ipopt to solve a problem related to the measurement of a diffusion profil with Infrared.\n",
    "\n",
    "Spectra have been measured along one axis of a cystal, and we expect diffusion of water along this axis.\n",
    "\n",
    "We are going to treat all the data in once. First, we are going to put the data in good shape for the optimisation procedure, which consist in peak-fitting all the spectra with Gaussian peaks, the amplitudes of the latters being calculated from the 1D diffusion equation.\n",
    "\n",
    "The data are entered as a [x y1 y2 y3 ... yn] text file, and the parameters are read in a second text file. Basically, to adjust anything you only need to modify this parameter text file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x7fb085c16d10>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# we call the relevant libraries\n",
    "#Pkg.update() #better to run that at the beginning of any session\n",
    "using PyPlot\n",
    "using JuMP\n",
    "using Ipopt\n",
    "using Spectra\n",
    "\n",
    "# you need to modify the following three lines depending on the files location (should be standard in this example)\n",
    "data = readdlm(\"./data/Fo_exp6_P5.txt\", '\\t') #reading the data\n",
    "parameters = readdlm(\"./data/Fo_exp6_P5_params.txt\", '\\t') #reading the parametersthe experience details\n",
    "plot(data[find(2800 .< data[:,1] .<3900),1],data[find(2800 .< data[:,1] .<3900),25:35]) # quick look to select the point of departure of the profil more easily, comment if you don't want it\n",
    "\n",
    "# here is just some stuffs to get parameters in the right variables\n",
    "step = Float64(parameters[1,2]) #step is in metre\n",
    "time = Float64(parameters[2,2].*3600.0) #time is in seconds, convert the hours of the user input\n",
    "start_sp = Int64(parameters[3,2]) #first valid spectra along profil (at the border)\n",
    "stop_sp = Int64(parameters[4,2]) #last valid spectra along profil (at the centre)\n",
    "low_x = Float64(parameters[5,2]) #low frequency of roi (region of interest)\n",
    "high_x = Float64(parameters[6,2]) #high frequency of roi (region of interest)\n",
    "first_bound_norm = Float64(parameters[7,2]) #low bond of integration for normalisation\n",
    "second_bound_norm = Float64(parameters[8,2]) #high bond of integration for normalisation\n",
    "first_bound_err = Float64(parameters[9,2]) #low bond of integration for error estimation\n",
    "last_bound_err = Float64(parameters[10,2]) #high bond of integration for error estimation\n",
    "m = Int64(parameters[11,2]) #number_peaks\n",
    "# We read the array of the model parameters and suqeeze them in 1D to have vectors\n",
    "c0_guess = squeeze(readdlm(IOBuffer(parameters[12,2]),','),1) #Initial concentrations\n",
    "c1_guess = squeeze(readdlm(IOBuffer(parameters[13,2]),','),1) #Bondary concentrations\n",
    "D_guess = squeeze(readdlm(IOBuffer(parameters[14,2]),','),1) #Diffisivity coefficients\n",
    "freq_guess = squeeze(readdlm(IOBuffer(parameters[15,2]),','),1) #Frequencies of the peaks\n",
    "hwhm_guess = squeeze(readdlm(IOBuffer(parameters[16,2]),','),1) #HWHM of the peaks\n",
    "\n",
    "println(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "# We prepare the data for the fit with the IRdataprep function of Spectra.jl\n",
    "x, y, y_ese_r, x_fit, y_fit, ese_fit = IRdataprep(data,step,start_sp,stop_sp,low_x,high_x,first_bound_norm,second_bound_norm, first_bound_err, last_bound_err)\n",
    "println(\"Done\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, the data are in a good shape, such that we only need to build the model using JuMP. This is quite straightforward:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Constructed...\n",
      "Min (nonlinear expression)\n",
      "Subject to\n",
      " 0 ≤ g_co[i] ≤ 0.00031904302098927084 ∀ i ∈ {1,2,…,4,5}\n",
      " 0 ≤ g_c1[i] ≤ 0.00031904302098927084 ∀ i ∈ {1,2,…,4,5}\n",
      " -20 ≤ g_D[i] ≤ 0 ∀ i ∈ {1,2,…,4,5}\n",
      " 3500 ≤ g_freq[i] ≤ 3700 ∀ i ∈ {1,2,…,4,5}\n",
      " 0 ≤ g_hwhm[i] ≤ 20 ∀ i ∈ {1,2,…,4,5}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# we construct a user-defined function\n",
    "#registerNLFunction(:gauss_poly, 2, myf, autodiff=true)\n",
    "\n",
    "# number of data =\n",
    "n = size(x_fit)[1]\n",
    "\n",
    "mod = Model(solver=IpoptSolver(derivative_test_print_all=\"yes\")) # here we build the model\n",
    "\n",
    "#Parameters declaration, remember that m is the number of peaks\n",
    "@defVar(mod, 0.1 <= g_co[i=1:m] <= maximum(y_fit))\n",
    "@defVar(mod, 0.1 <=g_c1[i=1:m] <= maximum(y_fit))\n",
    "@defVar(mod, -20.0 <= g_D[i=1:m] <= 0.1 )\n",
    "@defVar(mod, 3500.0 <= g_freq[i=1:m] <= 3700.0 )\n",
    "@defVar(mod, 0. <= g_hwhm[i=1:m] <= 20.0 )\n",
    "\n",
    "#Parameters initialisation\n",
    "setValue(g_co[i=1:m],c0_guess)\n",
    "setValue(g_c1[i=1:m],c1_guess)\n",
    "setValue(g_D[i=1:m],D_guess)\n",
    "setValue(g_freq[i=1:m],freq_guess)\n",
    "setValue(g_hwhm[i=1:m],hwhm_guess)\n",
    "\n",
    "#@defNLParam(mod,g_co[i=1:m] == c0_guess[i] )\n",
    "#@defNLParam(mod,g_c1[i=1:m] == c1_guess[i] )\n",
    "#@defNLParam(mod, g_D[i=1:m] == D_guess[i] )\n",
    "#@defNLParam(mod, g_freq[i=1:m] == freq_guess[i] )\n",
    "#@defNLParam(mod, g_hwhm[i=1:m] == hwhm_guess[i] )\n",
    "\n",
    "# The expression of the gaussians\n",
    "#@defNLExpr(mod, g_mod[j=1:n],sum{((g_c1[i] - g_co[i]) * erfc(x_fit[j,1]/(2. * ( 10^g_D[i] * time)^0.5)) + g_co[i]) *exp(-log(2) * ((x_fit[j,2]-g_freq[i])/g_hwhm[i])^2), i=1:m}) \n",
    "@defNLExpr(mod, g_mod[j=1:n],sum{((g_c1[i] - g_co[i]) * (x_fit[j,1]/(2. * ( 10^g_D[i] * time))) + g_co[i]) *exp(-log(2) * ((x_fit[j,2]-g_freq[i])/g_hwhm[i])^2), i=1:m}) \n",
    "\n",
    "# The objective function to solve, i.e. the simple least-square function\n",
    "@setNLObjective(mod,Min,sum{(g_mod[j] - y_fit[j])^2, j=1:n})\n",
    "println(\"Constructed...\")\n",
    "println(mod)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now plot the data to see how looks like the initial model. If not good, we can update the parameter file. Please note that there is so many spectra in along this diffusion profile that it is not very relevant to plot them in 3D.\n",
    "\n",
    "I prefer selecting a particular spectra, through the selected_spectrum variable, in order to have a clear look at the model in 2D. Change this selected_spectrum value to move along your diffusion profile (low value: close to border, high, close to core)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x7fb08590c310>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "PyObject <matplotlib.text.Text object at 0x7fb085755b10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parameter extractions\n",
    "mod_co = getValue(g_co)\n",
    "mod_c1 = getValue(g_c1)\n",
    "mod_D = getValue(g_D)\n",
    "mod_f = getValue(g_freq)\n",
    "mod_hwhm = getValue(g_hwhm)\n",
    "\n",
    "selected_spectrum = 10 #for peak fitting figures\n",
    "model,peaks = peak_diffusion(mod_co, mod_c1, mod_D, mod_f, mod_hwhm, x_fit, time)\n",
    "interest_compos = peaks[selected_spectrum*length(x)+1:selected_spectrum*length(x)+length(x),:]\n",
    "\n",
    "fig = figure()\n",
    "#plot(x, y[:,:],color=\"black\",label=\"All profil\")\n",
    "plot(x, y[:,selected_spectrum],color=\"blue\",label=\"SOI\")\n",
    "plot(x,interest_compos[:,:],color=\"red\",label=\"Guess fit\")\n",
    "title(\"Selected spectrum and its initial fit\")\n",
    "xlabel(L\"Wavenumber, cm$^{-1}$\")\n",
    "ylabel(\"Intensity, normalised\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we launch the optimisation procedure with the Ipopt algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ipopt finished with status Error_In_Step_Computation\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is Ipopt version 3.12.1, running with linear solver mumps.\n",
      "NOTE: Other linear solvers might be more efficient (see Ipopt documentation).\n",
      "\n",
      "Number of nonzeros in equality constraint Jacobian...:        0\n",
      "Number of nonzeros in inequality constraint Jacobian.:        0\n",
      "Number of nonzeros in Lagrangian Hessian.............:      325\n",
      "\n",
      "Total number of variables............................:       25\n",
      "                     variables with only lower bounds:        0\n",
      "                variables with lower and upper bounds:       25\n",
      "                     variables with only upper bounds:        0\n",
      "Total number of equality constraints.................:        0\n",
      "Total number of inequality constraints...............:        0\n",
      "        inequality constraints with only lower bounds:        0\n",
      "   inequality constraints with lower and upper bounds:        0\n",
      "        inequality constraints with only upper bounds:        0\n",
      "\n",
      "iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls\n",
      "   0  5.1515671e+05 0.00e+00 1.00e+02  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0\n",
      "ERROR: Problem in step computation, but emergency mode cannot be activated.\n",
      "\n",
      "Number of Iterations....: 0\n",
      "\n",
      "                                   (scaled)                 (unscaled)\n",
      "Objective...............:   1.5965658297566600e-02    5.1515670611765824e+05\n",
      "Dual infeasibility......:   1.0000000000000000e+02    3.2266549647763391e+09\n",
      "Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00\n",
      "Complementarity.........:   1.3400003699999979e+02    4.3237188466626244e+09\n",
      "Overall NLP error.......:   1.3400003699999979e+02    4.3237188466626244e+09\n",
      "\n",
      "\n",
      "Number of objective function evaluations             = 1\n",
      "Number of objective gradient evaluations             = 1\n",
      "Number of equality constraint evaluations            = 0\n",
      "Number of inequality constraint evaluations          = 0\n",
      "Number of equality constraint Jacobian evaluations   = 0\n",
      "Number of inequality constraint Jacobian evaluations = 0\n",
      "Number of Lagrangian Hessian evaluations             = 1\n",
      "Total CPU secs in IPOPT (w/o function evaluations)   =      0.007\n",
      "Total CPU secs in NLP function evaluations           =      0.673\n",
      "\n",
      "EXIT: Error in step computation (regularization becomes too large?)!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Not solved to optimality, status: Error\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solver status: Error\n",
      "rmsd: 515156.70611765824\n"
     ]
    }
   ],
   "source": [
    "# Solve for the control and state\n",
    "println(\"Solving...\")\n",
    "status = solve(mod)\n",
    "\n",
    "# Display results\n",
    "println(\"Solver status: \", status)\n",
    "println(\"rmsd: \", getObjectiveValue(mod))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a good solution. Let's see now how things look like. Same comment as above for the 2D plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x7f649a0615d0>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "PyObject <matplotlib.text.Text object at 0x7f649a175290>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parameter extractions\n",
    "mod_co_f = getValue(g_co)\n",
    "mod_c1_f = getValue(g_c1)\n",
    "mod_D_f = getValue(g_D)\n",
    "mod_f_f = getValue(g_freq)\n",
    "mod_hwhm_f = getValue(g_hwhm)\n",
    "\n",
    "selected_spectrum = 100 #for peak fitting figures\n",
    "model,peaks = peak_diffusion(mod_co_f, mod_c1_f, mod_D_f, mod_f_f, mod_hwhm_f, x_fit, time)\n",
    "interest_compos = peaks[selected_spectrum*length(x)+1:selected_spectrum*length(x)+length(x),:]\n",
    "\n",
    "fig = figure()\n",
    "#plot(x, y[:,:],color=\"black\",label=\"All profil\")\n",
    "plot(x, y[:,selected_spectrum],color=\"blue\",label=\"SOI\")\n",
    "plot(x,interest_compos[:,:],color=\"red\",label=\"Guess fit\")\n",
    "title(\"All the spectra plus the fit of interest spectrum\")\n",
    "xlabel(L\"Wavenumber, cm$^{-1}$\")\n",
    "ylabel(\"Intensity, normalised\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c0 are [1.0e-5,1.0e-5,1.0e-5,1.0e-5,1.0e-5]\n",
      "c1 are [3.0e-5,0.0001,7.0e-5,0.0003,4.0e-5]\n",
      "D are [-13.5,-13.5,-11.5,-13.5,-11.5]\n",
      "frequency are [3566.0,3579.0,3591.0,3612.5,3624.0]\n",
      "hwhm are [2.5,2.5,2.5,2.5,2.5]\n"
     ]
    }
   ],
   "source": [
    "println(\"c0 are $(mod_co_f)\")\n",
    "println(\"c1 are $(mod_c1_f)\")\n",
    "println(\"D are $(mod_D_f)\")\n",
    "println(\"frequency are $(mod_f_f)\")\n",
    "println(\"hwhm are $(mod_hwhm_f)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0-element Array{Float64,1}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 0.4.3",
   "language": "julia",
   "name": "julia-0.4"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "0.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
